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Improved modeling and analysis of the patch size-frequency distribution of forest disturbances in China based on a Landsat forest cover change product

文献类型：期刊论文

作者Song Dan-Xia1,7; Huang Chengquan2; He Tao3; Sexton Joseph O.5; Li Ainong6; Li Sike4; Wu Hao1,7; Townshend John R.2
刊名INTERNATIONAL JOURNAL OF DIGITAL EARTH
出版日期2020
页码DOI:10.1080/17538947.2020.1810337
关键词Forest disturbance patch size remote sensing forestry
ISSN号1753-8947
DOI10.1080/17538947.2020.1810337
产权排序6
文献子类Article; Early Access
英文摘要Forest disturbances have been altering the ecological properties of ecosystems; meanwhile, disturbance events of varying sizes create different structures and functions for a forest landscape. Therefore, size and frequency are important attributes of disturbances, and their relationship should be studied. We present a hierarchical method through the modeling of the overall trend of the size-frequency distribution and the characterization of the non-constant variances of disturbance sizes at each frequency level. This method was demonstrated to accurately model the sizes as well as the corresponding frequencies; thus, the total disturbed area and number of disturbance patches were both accurately estimated. By applying the method to 13 provinces in China, consistent patterns were revealed by the modeling results and remote-sensing-based product, showing that between 2000 and 2005, forests in most provinces were dominated by moderate disturbances (10 ha < size < 100 ha). Southeastern provinces contain the largest proportion of small disturbances (size < 10 ha), whereas most of the very large disturbances (size > 1000 ha) occurred in the northeastern and northwestern provinces. This study concludes that the proposed method can improve the representation of the size-frequency distribution of forest disturbances.
电子版国际标准刊号1753-8955
语种英语
WOS记录号WOS:000566631900001
源URL[http://ir.imde.ac.cn/handle/131551/46292]  
专题成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者Song Dan-Xia
作者单位1.Hubei Provincial Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, Wuhan, People's Republic of China;
2.Department of Geographical Sciences, University of Maryland, College Park, MD, USA;
3.School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, People's Republic of China;
4.School of Earth, Atmosphere and Environment, Monash University-Clayton Campus, Victoria, Australia
5.terraPulse, Inc, Gaithersburg, MD, USA;
6.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, People's Republic of China;
7.College of Urban and Environmental Sciences, Central China Normal University, Wuhan, People's Republic of China;
推荐引用方式
GB/T 7714		 Song Dan-Xia,Huang Chengquan,He Tao,et al. Improved modeling and analysis of the patch size-frequency distribution of forest disturbances in China based on a Landsat forest cover change product[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2020:DOI:10.1080/17538947.2020.1810337.
APA Song Dan-Xia.,Huang Chengquan.,He Tao.,Sexton Joseph O..,Li Ainong.,...&Townshend John R..(2020).Improved modeling and analysis of the patch size-frequency distribution of forest disturbances in China based on a Landsat forest cover change product.INTERNATIONAL JOURNAL OF DIGITAL EARTH,DOI:10.1080/17538947.2020.1810337.
MLA Song Dan-Xia,et al."Improved modeling and analysis of the patch size-frequency distribution of forest disturbances in China based on a Landsat forest cover change product".INTERNATIONAL JOURNAL OF DIGITAL EARTH (2020):DOI:10.1080/17538947.2020.1810337.

入库方式： OAI收割

来源：成都山地灾害与环境研究所

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